Senders

Sales is easy, it’s just: - Handling constant rejection, over and over - Building relationships with increasingly large stakeholder groups - Updating the CRM and accurately forecasting for leadership - Building out lead lists or good fit ICP - Calling prospects and pipeline opportunities every day - Crafting well thought out, personalized emails - Recording personalized videos to send to all prospects - Posting daily on LinkedIn to build a personal brand - Commenting on prospect’s and customer’s posts to add value - Attending mandatory sales meetings and internal training - Reading sales books to stay ahead of the latest trends - Working with the CSM team to get referrals from existing customers - Partnering with marketing to create content that resonates with the ICP - Immediately answering last minute requests from stakeholders That’s literally it. 😐

Even the best messages won't matter if they don't reach your audience. Setting up a safe sending infrastructure is non-negotiable for maintaining email deliverability and protecting your brand's reputation. In a recent project, our team ensured emails were sent securely and landed in the right inboxes. We fine-tuned domain settings and set up policies to block unauthorized use, which were key to building trust and credibility. This experience highlighted the importance of careful planning and ongoing monitoring to keep communication effective. Our teamwork not only improved deliverability but also strengthened the brand's integrity. Interested in learning how to optimize your email strategy and ensure your messages always reach your audience? Let's connect to explore how you can set up a secure, efficient sending infrastructure. Comment or DM me.

The days where AI kinda sounds like AI are almost over. I just (lightly) accused a team member of sounding like AI in something she wrote 🤦♂️ I doubt she was actually insulted -- her work is impeccable and she knows it. There was just one single line that I thought was a bit ChatGPT-y and I called that out. I don't mind if AI was used in the writing of this work or anything else. But somehow I *do* mind if readers *think* it was written by AI. This exposes a bias I have developed (a bias likely shared by others?) I prefer to read things that are written well and written by a human. Extra points if it is written well and by a human and it sounds like it was written by a human. What that means, exactly, I am honestly not sure anymore. AI is getting more human-like update-by-update (Claude 3.5 Sonnet, anybody?!) and perhaps humans are getting a bit more AI-like? Either way, I'm memorializing this moment in this LinkedIn post. No doubt in just a matter of days or weeks that this bias will be a quaint relic of the past. "Remember when AI kinda sounded like AI?" ✌